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Currently, the demand on portable medical electronic systems are increasing, for they provide services and information to both patients and doctors that the traditional medical methods cannot achieve. However, the development of portable medical electronic systems has many limitations, i.e., one has to find a sweet spot among performance, power consumption, size, and cost. For instance, if one only...
In this paper, we propose a phase field variational model with arctangent regularization for saliency detection. The classical Cahn-Hilliard model is used to extract features in complex image domain with highly anisotropic interfacial energy. Various visual attention features can be detected by minimizing the energy functional. The processing of saliency detection can be seen as a dynamical competition...
Focusing on the high computational complexity of cooperative selection methods in LTE uplink channels, an improved user selection method is proposed in this paper. The selection method is based on the channel quality and signal-to-noise (SNR) of cooperative user. This method is mainly divided into the following two steps: firstly, the user with poor quality channel condition selects a user with better...
Due to the introduction of wireless relays, the performance of LTE-A system was enhanced. Meanwhile, more energy was expensed and more interference was brought in. This is because the frequency used by relays may be the same or adjacent with the other relays or base stations. And the more stations deployed in a cell, the more energy consumed. In this paper, we proposed a novel green quasi-dynamic...
Simulink/Stateflow is a popular commercial model-based development tool for many industrial domains. For safety and security concerns, verification and testing must be performed on the Simulink/Stateflow designs and the generated code. In this paper, we present a test generation approach for Simulink/Stateflow by reduction to reachability in a Hybrid Automaton, with its locations representing the...
This paper presents an MAP-MRF (i.e. maximum a posteriori — Markov random field) based image segmentation method to achieve stable performance without knowing the true segment number in advance. Specifically, we firstly assign the segment number a value greater than or equal to the ground truth. Subsequently, cluster centroid of each segment in observation space is initialized randomly so that each...
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